I-D Action: draft-king-rokui-ainetops-usecases-02.txt

Internet-Draft draft-king-rokui-ainetops-usecases-02.txt is now available.

   Title:   Artificial Intelligence (AI) for Network Operations
   Authors: Reza Rokui
            Cheng Li
            Qin Wu
            Daniel King
   Name:    draft-king-rokui-ainetops-usecases-02.txt
   Pages:   71
   Dates:   2026-08-10

Abstract:

   This document explores the role of the IETF and IRTF in advancing
   Artificial Intelligence for network operations (AINetOps), focusing
   on requirements for IETF protocols and architectures.  AINetOps
   applies AI/ML techniques to automate and optimize network operations,
   enabling use cases such as reactive troubleshooting, proactive
   assurance, closed-loop optimization, misconfiguration detection, and
   virtual operator assistance.

   The document addresses AINetOps for both single-layer IP or Optical
   networks and multi-layer IP/Optical networks.  It defines the concept
   of AINetOps for networking and provides its operational benefits such
   as network assurance, predictive analytics, network optimization,
   multi-layer planning, and more.  It aims to guide the evolution of
   IETF protocols to support AINetOps-driven network management.

The IETF datatracker status page for this Internet-Draft is:
https://datatracker.ietf.org/doc/draft-king-rokui-ainetops-usecases/

There is also an HTML version available at:
https://www.ietf.org/archive/id/draft-king-rokui-ainetops-usecases-02.html

A diff from the previous version is available at:
https://author-tools.ietf.org/iddiff?url2=draft-king-rokui-ainetops-usecases-02

Internet-Drafts are also available by rsync at:
rsync.ietf.org::internet-drafts


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